# Verity

> Verity is an AI marketing data platform. Business users ask questions about their data in plain language and get trusted, visual answers, without SQL or a data team.

Verity is **generally available**. It connects your ad platforms, analytics, store, and email tools, shapes them into one semantic layer, and answers with charts, SQL, and explanations from your own data. Onboarding starts with a demo and a free trial on your own data. Pricing starts at €500 per month (excl. VAT) and follows the parts you use: Analytics, Data Management, and Activation.

## What Verity Does

- [Homepage](https://ask-verity.com): Product overview, features, and demo booking
- [Products Overview](https://ask-verity.com/products): Six ways Verity turns data into action
- [Data Chat](https://ask-verity.com/products/data-chat): Plain-English questions answered with charts, SQL, and explanations
- [Data Extraction & Modelling](https://ask-verity.com/products/data-extraction): Semantic layer built from your connected sources
- [Dashboards](https://ask-verity.com/products/dashboards): Dashboards built through conversation, then arranged with drag-and-drop
- [Attribution](https://ask-verity.com/products/attribution): Compare attribution models side by side instead of committing to one
- [Automations](https://ask-verity.com/products/automations): Scheduled agents that watch metrics and alert on changes
- [Activation](https://ask-verity.com/products/activation): Sync audiences to Meta Ads, Google Ads, and Brevo, and personalise Shopify content
- [Integrations](https://ask-verity.com/integrations): Sources Verity reads from and destinations it writes back to
- [Pricing](https://ask-verity.com/pricing): Plans and pricing
- [Vision](https://ask-verity.com/vision): Where Verity is going and why
- [Perspectives](https://ask-verity.com/perspectives): Essays on marketing data, attribution, and AI analytics
- [Docs](https://ask-verity.com/docs): Technical documentation
- [Guides](https://ask-verity.com/guides): Step by step setup guides for Google Cloud, BigQuery, and GA4
- [Changelog](https://ask-verity.com/changelog): Release notes and product updates
- [News](https://ask-verity.com/news): Industry updates and Verity announcements
- [Privacy Policy](https://ask-verity.com/privacy): Data handling, cookies, and GDPR rights
- [Full site content](https://ask-verity.com/llms-full.txt): Complete product information in LLM-friendly format

## Key Capabilities

- **Natural Language BI**: Ask questions like "What were our top products last quarter?" and get visual answers instantly
- **Multi-Agent Architecture**: Specialized AI agents collaborate. Finance agents know EBITDA, Marketing agents understand attribution models
- **Discovery Agents**: Automatically crawl and document database schemas, relationships, and data types, including undocumented legacy data
- **Business Glossary**: Define metrics and dimensions in your own terms so the AI understands your business context
- **Dashboards**: Create dashboards through conversation ("add this to my dashboard"), then fine-tune with drag-and-drop
- **Workspaces**: Team-based organization with role-based access control (Owner, Admin, Member, Viewer)
- **Transparent Answers**: See exactly how Verity interpreted your question, no black box
- **Activation**: Describe an audience in plain language and sync it to the channels where you spend

## Activation Destinations

Verity does not stop at the answer. Audiences and signals built on your semantic layer are pushed back into the tools your team already works in:

- **Meta Ads**: Sync audiences for retargeting and lookalikes.
- **Google Ads**: Customer Match lists kept in sync automatically.
- **Brevo**: Sync segments to Brevo contact lists.
- **Google Sheets**: Send the data behind a chart to a sheet.
- **Slack**: Route alerts and summaries to the right channel.
- **Email**: Scheduled reports and alerts straight to your inbox.
- **Shopify**: On-site content personalised per segment, so returning customers, high value buyers, and churn risks each see a different page

Audiences are defined once in business language, backed by the semantic layer, and refreshed automatically. New customers land in the next sync without manual export.

## Integrations

Every integration has its own page with what Verity does with it, how to connect it, and example questions. Overview: https://ask-verity.com/integrations

### Ads & Analytics

Campaigns, spend, attribution, conversions.

- [GA4](https://ask-verity.com/integrations/ga4): Sessions, conversions, events, traffic sources.
- [Meta Ads](https://ask-verity.com/integrations/meta-ads): Campaign performance, ROAS, audiences.
- [Google Ads](https://ask-verity.com/integrations/google-ads): Campaigns, conversions, keywords, costs.
- [Microsoft Ads](https://ask-verity.com/integrations/microsoft-ads): Search campaigns, impressions, CTR.
- [Google Search Console](https://ask-verity.com/integrations/google-search-console): Search clicks, impressions, queries, and pages.
- [Verity Pixel](https://ask-verity.com/integrations/verity-pixel): Consented website visitor events for profiles and segments.
- [LinkedIn Ads](https://ask-verity.com/integrations/linkedin-ads) (coming soon): B2B campaigns, lead gen forms, account targeting.
- [TikTok Ads](https://ask-verity.com/integrations/tiktok-ads) (coming soon): Campaign performance, creatives, audiences.
- [Amazon Ads](https://ask-verity.com/integrations/amazon-ads) (coming soon): Sponsored products, brands, and display campaigns.
- [Pinterest Ads](https://ask-verity.com/integrations/pinterest-ads) (coming soon): Campaigns, pins, and shopping performance.
- [Snapchat Ads](https://ask-verity.com/integrations/snapchat-ads) (coming soon): Campaign metrics, Snap audiences, conversions.
- [Criteo](https://ask-verity.com/integrations/criteo) (coming soon): Retargeting and commerce media campaigns.
- [Apple Search Ads](https://ask-verity.com/integrations/apple-search-ads) (coming soon): App Store search campaigns and keyword performance.

### Ecommerce

Orders, products, customers, refunds.

- [Shopify](https://ask-verity.com/integrations/shopify): Orders, products, customers, refunds, and discounts.
- [WooCommerce](https://ask-verity.com/integrations/woocommerce): Orders, products, customers, and coupons.

### Email & CRM

Campaigns, engagement, contacts.

- [Klaviyo](https://ask-verity.com/integrations/klaviyo): Email events, campaigns, flows, and profiles.
- [Brevo](https://ask-verity.com/integrations/brevo): Email events, campaigns, engagement, and contacts.
- [ActiveCampaign](https://ask-verity.com/integrations/activecampaign): Campaigns, email engagement, and contacts.

### Warehouses & Databases

Point Verity at your own data.

- [BigQuery](https://ask-verity.com/integrations/bigquery): Query your warehouse directly, no ETL.
- [Snowflake](https://ask-verity.com/integrations/snowflake): Query your own Snowflake database, governed by your roles.
- [Postgres](https://ask-verity.com/integrations/postgres): Postgres, MySQL, and SQL Server, hosted or self managed.

### Data modeling

Bring the definitions your data team already maintains.

- [dbt](https://ask-verity.com/integrations/dbt) (coming soon): Your dbt metrics become the definitions Verity answers with.

### Destinations

Push audiences and signals to the tools your team lives in.

- [Meta Ads](https://ask-verity.com/integrations/meta-ads): Sync audiences for retargeting and lookalikes.
- [Google Ads](https://ask-verity.com/integrations/google-ads): Customer Match lists kept in sync automatically.
- [Brevo](https://ask-verity.com/integrations/brevo): Sync segments to Brevo contact lists.
- [Google Sheets](https://ask-verity.com/integrations/google-sheets): Send the data behind a chart to a sheet.
- [Slack](https://ask-verity.com/integrations/slack): Route alerts and summaries to the right channel.
- [Email](https://ask-verity.com/integrations/email): Scheduled reports and alerts straight to your inbox.

## Company

- Website: [https://ask-verity.com](https://ask-verity.com)
- Contact: info@ask-verity.com
- LinkedIn: [https://www.linkedin.com/company/ask-verity/](https://www.linkedin.com/company/ask-verity/)
- Crunchbase: [https://www.crunchbase.com/organization/verity-e1d4](https://www.crunchbase.com/organization/verity-e1d4)
- Status: Generally available. Onboarding starts with a demo and a free trial on your own data
- Pricing: From €500 per month (excl. VAT), priced on the parts you use: Analytics, Data Management, and Activation

## Perspectives

Essays and analyses on marketing data ownership, measurement, activation, and AI analytics: 4 pillars, 17 articles. Overview: https://ask-verity.com/perspectives

### Built for the AI Era

- [Connecting Claude to BigQuery: What Works in the Demo and Breaks in Production](https://ask-verity.com/perspectives/claude-bigquery-mcp-production): Connecting Claude to BigQuery takes ten minutes. Trusting the answers takes definitions, access control, EU routing, and an audit trail. Here is the gap.
- [Why AI Gets Your Numbers Wrong, and How a Semantic Layer Fixes It](https://ask-verity.com/perspectives/semantic-layer-ai-accuracy): Text-to-SQL fails on real warehouses because the model lacks business context. A semantic layer turns your definitions into a contract the AI must obey.
- [The Security Review for AI on Your Marketing Data](https://ask-verity.com/perspectives/ai-analytics-security-review): AI on business data fails security reviews for predictable reasons. The exact questions on residency, access, audit, and scope, with good and bad answers.
- [MCP Explained for Marketing Leaders](https://ask-verity.com/perspectives/mcp-for-marketing-leaders): MCP is becoming the standard plug between AI models and business systems. What it is, how it works, and why what the server exposes matters most.

### Data Ownership

- [What BigQuery Actually Costs for a Marketing Team](https://ask-verity.com/perspectives/bigquery-costs-for-marketing-teams): BigQuery pricing in plain language for marketing-sized data: a worked example that lands around one euro a month, what makes bills explode, and the guardrails.
- [You Should Own Your Marketing Data Warehouse. Most Vendors Disagree.](https://ask-verity.com/perspectives/own-your-marketing-data-warehouse): Where your marketing data physically lives decides how much leverage you hold over every vendor. Most analytics tools keep it in their cloud, not yours.
- [The Real Cost of the Self-Built Data Stack](https://ask-verity.com/perspectives/real-cost-of-the-self-built-stack): A worked total cost of ownership for the self-built data stack: extraction, dbt, BI, reverse ETL, the warehouse, and the engineering time that dominates it.
- [You Need a Data Warehouse Later Than You Think](https://ask-verity.com/perspectives/when-do-you-need-a-data-warehouse): Most brands buy a data warehouse too early or discover the need too late. Four signals mark the threshold, and it is about question complexity, not revenue.
- [Understanding GA4 Data in BigQuery: A Practical Guide for Ecommerce](https://ask-verity.com/perspectives/ga4-bigquery-ecommerce-guide): A hands-on guide to GA4's BigQuery export schema for ecommerce teams. Learn how events, parameters, and ecommerce data are structured, and how to query them effectively.

### Measurement

- [Stop Choosing an Attribution Model. Compare Them All.](https://ask-verity.com/perspectives/compare-attribution-models): Every attribution model is an opinion about credit, so the debate over the right one never ends. Run them side by side and read the deltas instead.
- [Post-Purchase Surveys Catch What Your Click Data Misses](https://ask-verity.com/perspectives/post-purchase-surveys-attribution): A one-question survey at checkout sees podcasts, dark social, and word of mouth that click paths never record. How to run it and read it against clicks.
- [Why Shopify, GA4 and Meta All Report Different Revenue](https://ask-verity.com/perspectives/shopify-ga4-meta-revenue-mismatch): Shopify, GA4, and Meta measure different things, so their revenue never matches. See where every euro of the gap goes and how one definition layer ends it.
- [Platform ROAS Is Fiction. Here Is What to Measure Instead.](https://ask-verity.com/perspectives/platform-roas-is-fiction): Ad platforms grade their own homework, and their combined claims exceed your real orders. The regime that works: blended MER, incrementality, attribution.

### Insight to Action

- [One Semantic Layer, Twenty Clients](https://ask-verity.com/perspectives/agency-semantic-layer): Agencies rebuild the same reporting stack for every client. A versioned semantic layer template, instantiated per client, turns setup weeks into days.
- [Your Warehouse Should Push Audiences Back Into Your Channels](https://ask-verity.com/perspectives/warehouse-native-audiences): Channel tools each see a slice of the customer. The warehouse sees all of it, so audiences belong there, defined once and synced out, not exported as CSVs.
- [Your Dashboards Are Answering Last Quarter's Questions](https://ask-verity.com/perspectives/dashboards-answer-last-quarters-questions): A dashboard freezes a question at build time, but questions keep moving. Keep dashboards for monitoring and move investigation to governed conversation.
- [An Alert Without a Why Is Just Noise](https://ask-verity.com/perspectives/alerts-without-a-why): Most metric alerts stop at what happened and hand the why to a human. A useful alert learns the metric's rhythm and arrives with the first diagnosis done.

## Guides

Step by step setup guides for the groundwork behind marketing data. Overview: https://ask-verity.com/guides

- [How to Create a Google Cloud Organization for Your Domain](https://ask-verity.com/guides/google-cloud-organization-setup): A Google Cloud project without an organization belongs to whoever created it. Here is how to set up a free organization for your domain and move projects in.

## Optional

- [GitHub Organization](https://github.com/ask-verity): Open-source repositories